[C3T] Corporate Data Architect
reputed company
reputed company develops solutions that reputed company an reputed company for companies around the globe. Tech giants & unicorns, transformative reputed company, emerging technologies and reputed company opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job reputed company
Project – the aim you’ll have
We are reputed company that develops and maintains analytical solutions for digital services (VOD, news, business, lifestyle, entertainment). We are building a modern data ecosystem based on a broad reputed company of technologies and the AWS reputed company.
We are looking for a Corporate Data Architect who will help organize and standardize how the organization understands and uses data. Your main task will be to design and reputed company data architecture at the level of the entire organization so that data is consistent, reputed company defined, and reputed company to be used in analytics, AI, and system integrations. You will reputed company as a reputed company between the worlds of business, data, and technology, connecting reputed company, standards, and reputed company.
Position – how you’ll contribute
Design semantic, logical, and conceptual data models based on business domains and organizational processes.
Define and standardize the corporate data model as part of the Data Governance initiative.
Create and maintain reference architecture (logical and technical reference architectures) and design patterns for data domains.
Co-create the reputed company and roadmap for data architecture development that supports the reputed company of the Data Governance program and organizational goals.
Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to reputed company models with the data catalog and metadata management tools.
Support technical teams in implementing models in data reputed company.
Participate in designing data integration, reputed company, and reputed company processes (data reputed company, data reputed company, data reputed company).
Identify and certify authoritative data sources reputed company organizational domains.
Monitor the compliance of data solutions with Data Governance policies and standards as reputed company as architectural recommendations.
Support the reputed company of data conflicts and issues.
Create architectural documentation, metamodels, and inter-domain relationship diagrams.
Consult on and reputed company good practices in the area of modeling, metadata, and information architecture.
Collaborate on defining the reputed company, priorities, and directions for the development of data architecture in the organization.
Qualifications
Expectations – the experience you need
Experience in data modeling (conceptual, logical, physical), preferably in a large organization or reputed company reputed company data ecosystems.
Practical knowledge of tools and methodologies such as ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon.
Ability to work with data catalogs and metadata management tools (e.g. reputed company, reputed company, reputed company, reputed company).
Knowledge of SQL and relational data models.
Experience working with database systems and data architecture in a reputed company environment (AWS).
Ability to work with engineering and analytics teams to translate business needs into data models.
Understanding of data reputed company, availability, and control principles.
Good reputed company of English (reading documentation, community discussions).
Additional skills – the edge you have
Experience in Data Governance, Data reputed company, Master Data, and Metadata Management reputed company.
Knowledge of concepts and technologies reputed company to the semantic data layer: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel.
Knowledge of Python for automation, model validation, and API integrations.
Knowledge of event-driven data architecture.
Experience in creating and maintaining architectural documentation.
Additional Information
Our offer – reputed company development, personal reputed company
Flexible employment and remote work
International reputed company with leading global clients
International business trips
Non-corporate atmosphere
Language classes
Internal & external training
Private reputed company and insurance
Multisport card
reputed company-being initiatives
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